update model card README.md
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README.md
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 8
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- eval_batch_size:
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 1.
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| 1.
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### Framework versions
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2425
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- Accuracy: 0.84
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 8
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- eval_batch_size: 12
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.2069 | 1.0 | 113 | 1.3361 | 0.5 |
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| 1.5776 | 2.0 | 226 | 1.4992 | 0.43 |
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| 1.2343 | 3.0 | 339 | 1.2779 | 0.48 |
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| 0.8813 | 4.0 | 452 | 1.2418 | 0.62 |
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| 0.8836 | 5.0 | 565 | 0.9679 | 0.71 |
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| 0.7827 | 6.0 | 678 | 0.9275 | 0.7 |
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| 0.4979 | 7.0 | 791 | 1.2511 | 0.69 |
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| 0.466 | 8.0 | 904 | 1.0917 | 0.73 |
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| 0.6358 | 9.0 | 1017 | 0.7578 | 0.81 |
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| 0.5371 | 10.0 | 1130 | 1.2664 | 0.72 |
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| 0.0353 | 11.0 | 1243 | 1.2281 | 0.77 |
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| 0.0159 | 12.0 | 1356 | 1.5949 | 0.73 |
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| 0.0011 | 13.0 | 1469 | 1.0783 | 0.85 |
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| 0.0007 | 14.0 | 1582 | 1.3324 | 0.82 |
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| 0.0007 | 15.0 | 1695 | 1.2425 | 0.84 |
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### Framework versions
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